ArticleJournal of clinical and translational science2026
Multi-institutional perspectives on team science evaluation in clinical and translational science programs: Practices, challenges, facilitators, and future directions.
Article in Journal of clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Measuring what matters: Modern evaluation practices in clinical and translational science.Journal of clinical and translational science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Team science is central to clinical and translational research; however, systematic evaluation of collaborative efforts remains inconsistent and underdeveloped. To better understand current team science evaluation practices within clinical and translational science programs, we conducted a structured cross-sectional survey of team science and evaluation professionals. We analyzed quantitative data using descriptive statistics and qualitative responses through thematic analysis. Among participating organizations, the majority have implemented team science evaluations, predominantly using mixed-methods approaches combining quantitative metrics and qualitative assessments. Evaluation findings were primarily used to inform programing, improve team functioning, and secure funding. Reported challenges fell into four key areas: methodology; implementation; data analysis; and organization. Facilitators included: methodological enhancements, organizational support, collaborative approaches, and infrastructure elements. Participants emphasized using interim measures (e.g., team dynamics and satisfaction) that move beyond traditional outcome measures so that evaluations better reflect how teams interact, adapt, and progress as they develop. While team science evaluation adoption is substantial among leading translational research institutions, significant methodological gaps persist. Future directions focus on developing standardized frameworks with local flexibility, creating validated instruments, utilizing interim process measures, and demonstrating return on investment (ROI) to advance both evaluation science and translational outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.